context safety score
A score of 52/100 indicates minor risk signals were detected. The entity may be legitimate but has characteristics that warrant attention.
phishing
1 deceptive links where visible host does not match destination host
brand impersonation
The site firefox.en.softmany.com impersonates Mozilla Firefox by using Mozilla's official branding, logo, app name, and product descriptions while operating from a third-party domain (softmany.com) unaffiliated with Mozilla. The page title is 'Mozilla Firefox - Download', the app is listed as authored by 'Mozilla Organization', and the structured data references 'http://www.mozilla.org/en-US/firefox/new/' as the author URL, falsely implying official Mozilla endorsement. (location: page.html:title, page.html:63-76, page.html:435-438)
social engineering
The site presents itself as an official or trusted Firefox download source, using Mozilla branding and a convincing download button linking to https://firefox.en.softmany.com/windows/download. Users are socially engineered into downloading software from an unverified third-party distributor rather than the official Mozilla site. The page also promotes an 'APK for Android' download via a prominently styled green CTA button, further encouraging software downloads from a non-official source. (location: page.html:505-511, page.html:603-604)
phishing
The site mimics the official Mozilla Firefox download page using Mozilla branding, structured metadata, and a download flow hosted on a non-Mozilla domain. Users seeking the legitimate Firefox download could be deceived into downloading potentially modified or malicious installer files from https://firefox.en.softmany.com/windows/download instead of the official https://www.mozilla.org source. (location: page.html:505-511, metadata.json:domain)
credential harvesting
A POST form is present submitting to https://firefox.en.softmany.com/rate-content with a CSRF token and hidden fields (content_id, rating). While this appears to be a rating form rather than a credential form, the brin-context flags 1 credential form count. The CSRF token value 'tagOHoJaOu0ciA4XsrO3YED22sfm8wA0VzGQ6MGa' is hardcoded and exposed in both the HTML meta tag and inline JS fetch call, representing a token exposure issue. This form posts user-interaction data (ratings tied to session tokens) to the site's backend. (location: page.html:34, page.html:449-452, page.html:833-840)
curl https://api.brin.sh/domain/firefox.en.softmany.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
firefox.en.softmany.com currently scores 52/100 with a caution verdict and medium confidence. The goal is to protect agents from high-risk context before they act on it. Treat this as a decision signal: higher scores suggest lower observed risk, while lower scores mean you should add review or block this domain.
Use the score as a policy threshold: 80–100 is safe, 50–79 is caution, 20–49 is suspicious, and 0–19 is dangerous. Teams often auto-allow safe, require human review for caution/suspicious, and block dangerous.
brin evaluates four dimensions: identity (source trust), behavior (runtime patterns), content (malicious instructions), and graph (relationship risk). Analysis runs in tiers: static signals, deterministic pattern checks, then AI semantic analysis when needed.
Identity checks source trust, behavior checks unusual runtime patterns, content checks for malicious instructions, and graph checks risky relationships to other entities. Looking at sub-scores helps you understand why an entity passed or failed.
brin performs risk assessments on external context before it reaches an AI agent. It scores that context for threats like prompt injection, hijacking, credential harvesting, and supply chain attacks, so teams can decide whether to block, review, or proceed safely.
No. A safe verdict means no significant risk signals were detected in this scan. It is not a formal guarantee; assessments are automated and point-in-time, so combine scores with your own controls and periodic re-checks.
Re-check before high-impact actions such as installs, upgrades, connecting MCP servers, executing remote code, or granting secrets. Use the API in CI or runtime gates so decisions are based on the latest scan.
Learn more in threat detection docs, how scoring works, and the API overview.
Assessments are automated and may contain errors. Findings are risk indicators, not confirmed threats. This is a point-in-time assessment; security posture can change.
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